Artificial Intelligence as a Managerial Decision Support Infrastructure in Hospitals: A Governance Framework.
The advent of artificial intelligence (AI) has precipitated a paradigm shift in healthcare; however, scholarly and policy discourse still prioritizes clinical applications, while managerial applications remain comparatively underexamined. This narrative review focuses on AI governance in hospital ma...
| Publicado en: | Lokman Hekim Health Sciences Vol. 6; no. 2; pp. 341 - 352 |
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| Autores principales: | , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
KARE Publishing
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194639960&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194639960 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 27917835 N1MV jtl: Lokman Hekim Health Sciences issn: 27917835 maglogo: N pubinfo: dt: Jun2026 vid: 6 iid: 2 pid: 62027 pub: KARE Publishing artinfo: ui: 194639960 194639960 194639960 10.14744/lhhs.2026.10041 194639960 ppf: 341 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Artificial Intelligence as a Managerial Decision Support Infrastructure in Hospitals: A Governance Framework. aug: au: Şahin, İsmet Zengul, Ferhat Devrim affil: Department of Health Services Management, Lokman Hekim University, Ankara, Türkiye sug: subj: Artificial Intelligence Decision Support Systems, Clinical Hospitals Public Health Infrastructure Health Care Delivery Clinical Governance Accountability Organizational Culture Health Facility Administration Strategic Planning Health Resource Allocation Thematic Analysis Workforce Conceptual Framework ab: The advent of artificial intelligence (AI) has precipitated a paradigm shift in healthcare; however, scholarly and policy discourse still prioritizes clinical applications, while managerial applications remain comparatively underexamined. This narrative review focuses on AI governance in hospital management and repositions AI as a managerial decision support infrastructure capable of reshaping hospital governance, organizational accountability, and institutional legitimacy. We conducted a structured narrative synthesis drawing on organizational theory, healthcare management, and AI governance literature. Relevant sources were identified through targeted database searches and citation tracking, screened for applicability to hospital-level managerial AI (strategic planning, resource allocation, and performance oversight), and synthesized via iterative thematic analysis to identify recurring governance challenges and convergent mechanisms. Based on this synthesis, we develop a three-dimensional governance framework linking managerial AI to (1) decision-authority distribution, (2) accountability mechanisms, and (3) institutional legitimacy. The framework is operationalized with illustrative scenarios and contextualized for the Turkish healthcare system. Our analysis shows that effective managerial AI governance requires explicit authority assignment, baseline thresholds for transparency and auditability, and board-level oversight structures to prevent responsibility diffusion and protect institutional legitimacy. We conclude with implementation guidance for hospital leaders and health system regulators. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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